Filter News
Area of Research
News Topics
- (-) Artificial Intelligence (3)
- (-) Bioenergy (2)
- (-) Biomedical (1)
- (-) Security (1)
- 3-D Printing/Advanced Manufacturing (17)
- Advanced Reactors (1)
- Big Data (2)
- Biology (4)
- Biotechnology (1)
- Buildings (8)
- Chemical Sciences (1)
- Clean Water (1)
- Climate Change (3)
- Composites (3)
- Computer Science (7)
- Coronavirus (2)
- Critical Materials (2)
- Decarbonization (4)
- Energy Storage (12)
- Environment (11)
- Grid (6)
- High-Performance Computing (4)
- Materials (13)
- Materials Science (6)
- Mathematics (1)
- Microscopy (1)
- Nanotechnology (2)
- Net Zero (1)
- Neutron Science (8)
- Nuclear Energy (1)
- Polymers (1)
- Quantum Computing (1)
- Quantum Science (1)
- Space Exploration (2)
- Statistics (1)
- Summit (1)
- Sustainable Energy (19)
- Transportation (13)
Media Contacts
An ORNL-led team comprising researchers from multiple DOE national laboratories is using artificial intelligence and computational screening techniques – in combination with experimental validation – to identify and design five promising drug therapy approaches to target the SARS-CoV-2 virus.
ORNL’s Zhenglong Li led a team tasked with improving the current technique for converting ethanol to C3+ olefins and demonstrated a unique composite catalyst that upends current practice and drives down costs. The research was published in ACS Catalysis.
A research team led by Oak Ridge National Laboratory bioengineered a microbe to efficiently turn waste into itaconic acid, an industrial chemical used in plastics and paints.
At the Department of Energy’s Oak Ridge National Laboratory, scientists use artificial intelligence, or AI, to accelerate the discovery and development of materials for energy and information technologies.
Twenty-seven ORNL researchers Zoomed into 11 middle schools across Tennessee during the annual Engineers Week in February. East Tennessee schools throughout Oak Ridge and Roane, Sevier, Blount and Loudon counties participated, with three West Tennessee schools joining in.
Algorithms developed at Oak Ridge National Laboratory can greatly enhance X-ray computed tomography images of 3D-printed metal parts, resulting in more accurate, faster scans.